Evidence map›Paper›PMID 42536752›Full record

ArticleScience advances2026

A

Kun Wu, Jiuhong Nan, Haoxuan Liu

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kun WuCenter for Evolutionary & Organismal Biology, Department of Pharmacy, Center for Regeneration and Aging Medicine, the Fourth Affiliated Hospital of School of Medicine, International School of Medicine, and International Institutes of Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China.ORCID 0000-0003-2878-8437
Jiuhong NanLiangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou 311121, China.ORCID 0000-0002-4355-7015
Haoxuan LiuCenter for Evolutionary & Organismal Biology, Department of Pharmacy, Center for Regeneration and Aging Medicine, the Fourth Affiliated Hospital of School of Medicine, International School of Medicine, and International Institutes of Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China.ORCID 0009-0009-1075-8185

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Germline mutations play a pivotal role in evolution and are the primary cause of hereditary diseases in humans. Although interpopulation and interspecific variations in the mutation rate and spectrum are observed, their underlying genetic basis is still unclear. In this study, we explore the genetic regulation of germline mutation rates using one of the largest publicly available datasets derived from parent-offspring whole-genome sequencing. We first showed that germline mutation rates are strongly correlated between siblings, suggesting the influence of heritable factors. We then performed a genome-wide association study (GWAS), identifying 14 loci significantly associated with mutation rates, Notably, a lead single-nucleotide polymorphism (SNP) in the

Indexed as

AllelesDNA-Binding ProteinsDNA Repair EnzymesGerm-Line MutationMutation RateFemaleGenome-Wide Association StudyHumansMalePolymorphism, Single NucleotideDNA-Binding ProteinsDNA Repair Enzymes

Identifiers

PMID42536752
PMCPMC13426420

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.